We compare RWVFD with two passive methods for tamper detection, which detect universal manipulations or deepfake, namely, MVSS-Net [1]} and Xception [2]}.
We employ the peak signal-to-noise ratio (PSNR) and the Structural Similarity [3]} to evaluate the image quality. The value of SSIM ranges from zero to one. A higher structure similarity is indicated by a high SSIM closer to one.
We employ the Precision, Recall, and F1 score to measure the accuracy of tamper localization.
Higher F1 value indicates more accurate result.
